Feng Fu

Associate Professor

Dartmouth College

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Feng Fu is an Associate Professor at Dartmouth College in the United States. His research interests primarily focus on social dilemmas, evolutionary game theory, and collective behaviors in complex systems. Recent articles include topics such as indirect reciprocity in public goods games, the dynamics of disease control through voluntary quarantine, and improving cooperation in hybrid AI-human systems.

Articles (20)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Collaborators (2)

Brooke Harrington

Professor of Sociology

Dartmouth College

UNITED STATES

View details

Scott Pauls

Cheheyl Professor and Director

Dartmouth College

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Feng Fu

Research Interests

Explore related searches

Contact this professor

About

Articles (20)

Indirect reciprocity in the public goods game with collective reputations

Evolutionary multi-agent reinforcement learning in group social dilemmas

Social dilemma of nonpharmaceutical interventions: Determinants of dynamic compliance and behavioral shifts

Determinants of successful disease control through voluntary quarantine dynamics on social networks

How norms shape the evolution of prosocial behaviour–compassion, universalizability, reciprocity and equity: a C.U.R.E for social dilemmas

Unbending strategies shepherd cooperation and suppress extortion in spatial populations

Deterministic theory of evolutionary games on temporal networks

Too little, too late – a dynamical systems model for gun-related violence and intervention

Too little, too late - a dynamical systems model for gun-related violence and intervention

Ensuring the greater good in hybrid AI-human systems

Complex systems of secrecy: the offshore networks of oligarchs

Reactive means in the iterated Prisoner’s dilemma

Outlearning extortioners: unbending strategies can foster reciprocal fairness and cooperation

Towards data-driven, next-generation understanding of network physiology

Evolutionary Kuramoto dynamics

Eco-evolutionary dynamics of bimatrix games

The intricate geometry of zero-determinant strategies underlying evolutionary adaptation from extortion to generosity

Highly coordinated nationwide massive travel restrictions are central to effective mitigation and control of COVID-19 outbreaks in China

Polarization, abstention, and the median voter theorem

The dual problems of coordination and anti-coordination on random bipartite graphs

Collaborators (2)

Brooke Harrington

Scott Pauls

Make your next move.